the answers are below
Step-by-step explanation:
1. the populaton of ths study are the college students that are beng tested on the effect of alcohol on their emotions. college students are the main focus of this experiment.
2. The sample for this study is the 120 students from the University. the sample of a study is actually the number of participants in that study. this queston says that they are 120
3. the null hyothesis:
h₀ : alcohol has no effect on college students emotions
4. the alternate hypothesis:
h₁: there is effect of alcohol on college students emotions
5. The researcher would have to use a t test which is an inferential statistical test. A t test is used to test for the existence of statistical difference between two means that may have similar features
the answers are below
Step-by-step explanation:
1. the populaton of ths study are the college students that are beng tested on the effect of alcohol on their emotions. college students are the main focus of this experiment.
2. The sample for this study is the 120 students from the University. the sample of a study is actually the number of participants in that study. this queston says that they are 120
3. the null hyothesis:
h₀ : alcohol has no effect on college students emotions
4. the alternate hypothesis:
h₁: there is effect of alcohol on college students emotions
5. The researcher would have to use a t test which is an inferential statistical test. A t test is used to test for the existence of statistical difference between two means that may have similar features
Solomon four-group
Explanation:
In a Solomon four-group design, half the participants receive only a posttest, while the other half receives both a pretest and a posttest.
Solomon four-group was developed by Richard Solomon , this design is a standard pretest-posttest two-group design and the posttest only control design, it assesses the effect of having been pretested on the magnitude of the treatment effect and design involves individuals being randomized into four groups: two treatment groups and two control groups
Solomon four-group
Explanation:
In a Solomon four-group design, half the participants receive only a posttest, while the other half receives both a pretest and a posttest.
Solomon four-group was developed by Richard Solomon , this design is a standard pretest-posttest two-group design and the posttest only control design, it assesses the effect of having been pretested on the magnitude of the treatment effect and design involves individuals being randomized into four groups: two treatment groups and two control groups
Yes, you need to put int() around all the inputs, as it will automatically take the input values as strings and thus won't add them as numbers, but stick all the strings together
Yes, you need to put int() around all the inputs, as it will automatically take the input values as strings and thus won't add them as numbers, but stick all the strings together
F test
Step-by-step explanation:
Given that we want to study the average weight of children in the US. We collect a random sample of 345 first graders in three different US states
Since there are three samples representing three populations to check whether they have same average weight we have to use F test.
Two sample t test is wrong because here there are three samples.
Paired t test is done for the same item subject to two different tratments
Z test is done for comparing of a mean with population mean or proportion if the population standard deviation is known.
Hence here since the number of groups are more than two, only F test is best suited to determine whether there is a difference in the average student weight among the three states
See Explanation
Step-by-step explanation:
The question is incomplete as the box and whisker plots for the Pre-test A and the Pre-test B are not given. I will answer this question with the attached image.
The attached image contains three plots.
The first plot shows the description of how to read the box and whisker plot.
From the description image, the following represents the summary of the plot
The green line: Minimum
The blue line: Lower Quartile (Q1)
The red line: Median (Q2)
The yellow line: Upper Quartile (Q3)
The last green line: Maximum
Using the above descriptions to read the pre-test A and pre-test B plots.
The lower quartile of pre-test A is:
The lower quartile of pre-test B is:
The difference (D) is calculated as:
The difference is 5
Use the above explanation to answer your question
The range of the data set is 57.
The interquartile range (IQR) of the data set is 29.
The difference between the medians of the post-test and pre-test scores is 12.
Range is the difference between the largest and smallest number is a data set. It is a measure of variation.
Range = largest number - smallest number
80 - 23 = 57
In order to determine the the interquartile range, divide the numbers in the data set into two equal halves
First half = 23, 27, 42, 45, 49
Second half = 53, 62, 71, 76, 80
The second step is to determine the median of each half. The median is the number that is in the middle of a dataset.
Median of the first half = 42
Median of the second half = 71
The interquartile range is the difference between the two medians
71 - 42 = 29
A box plot is used to study the distribution of a dataset. The median can be determined by tracing the line in the middle of box to the number line.
Median of the pre-test scores = 72
Median of the pre-test scores = 84
Difference = 84 - 72 = 12
To learn more about range, please check: link
It will provide an instant answer!